AZW SER9
Geekbench AI Score
3005
Single Precision Score
1558
Half Precision Score
5053
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 04:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1574
292.6 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.2 IPS |
|
|
Image Classification (Q)
|
99% |
3933
733.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2932
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6455
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6388
7.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
27942
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
88% |
2013
161.4 IPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
5946
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7115
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2508
19.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6429
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17244
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14919
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31091
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2122
78.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4046
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
1485
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
622
830.8 IPS |
|
|
Text Classification (Q)
|
97% |
1354
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2574
57.4 IPS |
